Living with an autonomous spatiotemporal home heating system: Exploration of the user experiences (UX) through a longitudinal technology intervention-based mixed-methods approach.

Rising energy demands place pressure on domestic energy consumption, but savings can be delivered through home automation and engaging users with their heating and energy behaviours. The aim of this paper is to explore user experiences (UX) of living with an automated heating system regarding experiences of control, understanding of the system, emerging thermal behaviours, and interactions with the system as this area is not sufficiently researched in the existing homes setting through extended deployment. We present a longitudinal deployment of a quasi-autonomous spatiotemporal home heating system in three homes. Users were provided with a smartphone control application linked to a self-learning heating algorithm. Rich qualitative and quantitative data presented here enabled a holistic exploration of UX. The paper's contribution focuses on highlighting key aspects of UX living with an automated heating systems including (i) adoption of the control interface into the social context, (ii) how users' vigilance in maintaining preferred conditions prevailed as a better indicator of system over-ride than gross deviation from thermal comfort, (iii) limited but motivated proactivity in system-initiated communications as best strategy for soliciting user feedback when inference fails, and (iv) two main motivations for interacting with the interface - managing irregularities when absent from the house and maintaining immediate comfort, latter compromising of a checking behaviour that can transit to a system state alteration behaviour depending on mismatches. We conclude by highlighting the complex socio-technical context in which thermal decisions are made in a situated action manner, and by calling for a more holistic, UX-focused approach in the design of automated home systems involving user experiences.

[1]  Lisanne Bainbridge,et al.  Ironies of automation , 1982, Autom..

[2]  Todd Kulesza An explanation-centric approach for personalizing intelligent agents , 2012, IUI '12.

[3]  Anind K. Dey,et al.  Why and why not explanations improve the intelligibility of context-aware intelligent systems , 2009, CHI.

[4]  Kent Larson,et al.  Adding GPS-Control to Traditional Thermostats: An Exploration of Potential Energy Savings and Design Challenges , 2009, Pervasive.

[5]  Kamin Whitehouse,et al.  The self-programming thermostat: optimizing setback schedules based on home occupancy patterns , 2009, BuildSys '09.

[6]  Abuse Humans and Automation : Use , Misuse , Disuse , , 2008 .

[7]  L. Suchman Plans and situated actions , 1987 .

[8]  Paul Gerard Tuohy,et al.  Why advanced buildings don't work? , 2012 .

[9]  Sebastian Herkel,et al.  Towards a model of user behaviour regarding the manual control of windows in office buildings , 2008 .

[10]  Boris E. R. de Ruyter,et al.  Ambient assisted-living research in carelab , 2007, INTR.

[11]  Ben Matthews,et al.  From occupying to inhabiting - A change in conceptualising comfort , 2009 .

[12]  Therese Peffer,et al.  How people use thermostats in homes: A review , 2011, Building and Environment.

[13]  John Krumm,et al.  PreHeat: controlling home heating using occupancy prediction , 2011, UbiComp '11.

[14]  Tim Brown,et al.  Design Thinking for Social Innovation , 2010 .

[15]  Adrian Leaman,et al.  Evaluating housing performance in relation to human behaviour: new challenges , 2010 .

[16]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[17]  S. Schneider,et al.  Climate Change 2001: Synthesis Report: A contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[18]  Hom B. Rijal,et al.  Developing occupancy feedback from a prototype to improve housing production , 2010 .

[19]  A. Audenaert,et al.  Practical versus theoretical domestic energy consumption for space heating , 2011 .

[20]  W. R. M. Pomeroy,et al.  Measurement of Rayleigh ratio for several pure liquids using a laser and monitored photon counting , 1975 .

[21]  S P Potter,et al.  Energy supply. , 1973, Science.

[22]  John Krumm,et al.  Learning Time-Based Presence Probabilities , 2011, Pervasive.

[23]  Andrea Bunt,et al.  Are explanations always important?: a study of deployed, low-cost intelligent interactive systems , 2012, IUI '12.

[24]  R. Pachauri,et al.  Climate change 2014 : synthesis report : A report of the Intergovernmental Panel on Climate Change , 2014 .

[25]  Kamin Whitehouse,et al.  The smart thermostat: using occupancy sensors to save energy in homes , 2010, SenSys '10.